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Oliver Schabenberger executes the company’s strategic objectives and business priorities as well as sets the technology direction for SAS. Together with SAS CEO Jim Goodnight, he helps shape SAS’ vision and keep the company at the forefront of innovation so that customers have access to the technology and services they need to be successful.

Everyone is talking about artificial intelligence. Unfortunately, a lot of what you hear about AI in the movies and on the TV is sensationalized for entertainment. Indeed, AI is overhyped. But AI is also real and powerful. Consider this: engineers worked for years on hand-crafted models for object detection, facial

I just spent four inspiring days talking to customers about the many ways they are putting analytics into action in their organizations. From computer vision models that interpret medical images to natural language processing models that analyze supply chain records, SAS users are doing ground-breaking work with analytics and AI.

Artificial intelligence (AI) is a natural evolution of analytics. Over the years, we have seen AI add learning and automation capabilities to the predictive and prescriptive jobs of analytics. We have been building AI systems for decades, but a few things have changed to make today’s AI systems more powerful.

What if? Two simple words. A bold question. Driver of change and progress. Fuel for innovation. “What if?” perfectly captures core values of the SAS culture: to be curious, forward-thinking and to challenge assumptions in solving problems. Today, I would like to introduce to you the people behind four of

Called out as two common IT threads in my previous blog post, how do artificial intelligence and automation connect with another prominent movement, the Internet of Things (IoT)? First, consider these predictions from IDC on IoT. By 2020, At least 45 percent of IoT-created data will be stored, processed, analyzed

Technology is changing rapidly: autonomous vehicles, connected devices, digital transformation, the Internet of Things (IoT), machine learning, artificial intelligence (AI), automation. The list goes on. And it has only begun. I am often asked, “What is next for SAS? What will the future of analytics look like in 20 years?”

We live in exciting times. Our relationships with machines, objects and things are quickly changing. Since mankind lived in caves, we have pushed our will into passive tools with our hands and our voices. Our mice and our keyboards do exactly as we tell them to, and devices like the

I do not like to stand still. I am a lifelong learner, I take guitar lessons during the week, and I am known for riding my Segway around SAS campus and at events. SAS works the same way; we never stand still. We are continuously innovating and moving forward. Last

In 1990, the internet took on its most recognizable form. It brought connection, knowledge and speed that was previously inaccessible. Fast-forward 27 years, and I get asked a lot about the most recent form of the internet – the internet of things (IoT). And while I think the current possibilities

We have come a long way since Thomas Edison invented the electric light bulb and the industrial revolution democratized artificial power. Today, most of us take reliable, affordable power for granted. Historically, steady growth in demand for power allowed utilities to invest heavily in generation and delivery infrastructure and to